Mistral API error
Mistral API 429 Too many requests: what it means and how to fix it
429 Too many requestsRetry? YesLast verified 3 documented fixes2 sources
What it means
You have exceeded the rate limit for your subscription tier. Requests per second and tokens per minute are enforced independently and apply per organization.
Causes
- Too many requests per second
- Token-per-minute quota exceeded
- Concurrent request limit reached
How to fix it
- Fix 1.
Implement exponential backoff and check the Retry-After response header.
Snippetimport time import random from mistralai.client import Mistral client = Mistral(api_key="YOUR_API_KEY") def call_with_retry(func, max_retries=5): for attempt in range(max_retries): try: return func() except Exception as e: if attempt == max_retries - 1: raise wait = (2 ** attempt) + random.uniform(0, 1) time.sleep(wait) - Fix 2.
Monitor the X-RateLimit-Remaining response header and check your current limits on the admin limits page.
- Fix 3.
For sustained high throughput, use batch processing (it does not count against real-time rate limits) or upgrade your plan.
More Mistral API errors
All 11 Mistral API errorsHTTP 429 at other providers
Compare 429 across providers429 ThrottlingExceptionRetry? YesAmazon Bedrock429 ModelNotReadyExceptionRetry? YesAmazon Bedrock429 rate_limit_errorRetry? YesAnthropic API429 rate_limit_error (enforced_spend_limit_reached)Retry? NoAnthropic API429 Too Many Requests (Rate limit is exceeded)Retry? YesAzure OpenAI429 Too Many Requests (System is experiencing high demand)Retry? YesAzure OpenAI429 Too Many Requests (temporary rate limit adjustment)Retry? YesAzure OpenAI429 Too Many Requests (token budget exceeded by request parameters)Retry? Not statedAzure OpenAI429 Too Many RequestsRetry? YesCohere API429 - Rate Limit ReachedRetry? Not statedDeepSeek API429 rate_limit_exceededRetry? YesGemini API429 quota_exceededRetry? YesGemini API
FAQ
What does the Mistral API error "429 Too many requests" mean?
You have exceeded the rate limit for your subscription tier. Requests per second and tokens per minute are enforced independently and apply per organization.
How do I fix Mistral API "429 Too many requests"?
There are 3 documented fixes. Start with the first: Implement exponential backoff and check the Retry-After response header.
Should I retry Mistral API "429 Too many requests"?
Yes. The official docs treat this error as retryable.
Which other AI APIs return HTTP 429?
Per their official error docs: Amazon Bedrock (429 ThrottlingException; 429 ModelNotReadyException), Anthropic API (429 rate_limit_error; 429 rate_limit_error (enforced_spend_limit_reached)), Azure OpenAI (429 Too Many Requests (Rate limit is exceeded); 429 Too Many Requests (System is experiencing high demand); 429 Too Many Requests (temporary rate limit adjustment); 429 Too Many Requests (token budget exceeded by request parameters)), Cohere API (429 Too Many Requests), DeepSeek API (429 - Rate Limit Reached), Gemini API (429 rate_limit_exceeded; 429 quota_exceeded; 429 too_many_requests; 429 RESOURCE_EXHAUSTED), Groq API (429 Too Many Requests), OpenAI API (429 credit_balance_exhausted; 429 Rate limit reached for requests; 429 rate_limit_error slow_down; 429 organization_spend_limit_exceeded; 429 project_spend_limit_exceeded; 429 organization_usage_limit_exceeded), OpenRouter (429 rate_limit_exceeded), Vertex AI (429 RESOURCE_EXHAUSTED; 429 Resource exhausted, please try again later; 429 Too many requests. Exceeded the Provisioned Throughput), xAI API (429 Too Many Requests).
Sources
Last verified against 2 sources: Mistral API's official docs and official SDK repositories.
- docs.mistral.aihttps://docs.mistral.ai/resources/error-glossary
- docs.mistral.aihttps://docs.mistral.ai/resources/known-limitations
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